rpart.pca {mvpart} | R Documentation |
Plots a PCA of the rpart object on the current graphics device.
## S3 method for class 'pca': rpart(tree, pts = TRUE, plt.allx = TRUE, speclab = TRUE, specvecs = TRUE, wgt.ave = FALSE, add.tree = TRUE, cv1 = 1, cv2 = 2, chulls = TRUE, interact = FALSE, ...)
tree |
A fitted object of class rpart containing a multivariate
regression tree.
|
pts |
If TRUE , large points representing the leaf means are plotted.
|
plt.allx |
If TRUE , small points representing individual cases are plotted.
|
speclab |
If TRUE the labels of the response variables are plotted.
|
specvecs |
If TRUE the vectors of the response variables are plotted provided
wgt.ave is FALSE .
|
wgt.ave |
If TRUE use weighted averages of responses not vectors.
|
add.tree |
If TRUE add the tree structure to the plot.
|
cv1 |
Defines the principal component to plot horizontally – but see interact .
|
cv2 |
Defines the principal component to plot vertically – but see interact .
|
chulls |
If TRUE adds convex hulls to thr tree groups.
|
interact |
If TRUE the plot can be viewed in dimensions by left-clicking to
top-left, bottom-right or bottom-left (reset).
|
... |
arguments to be passed to or from other methods. |
This function plots a PCA biplot of the group means (leaves) of
multivariate regresssion objects of class rpart
.
The responses and group means and indivdual cases can be shown on the plot.
If responses are positive (eg species-environment data) weighted averages of
responses can be plotted.
NULL
A PCA biplot plot is produced on the current graphics device.
data(spider) fit<-mvpart(data.matrix(spider[,1:12])~herbs+reft+moss+sand+twigs+water,spider) rpart.pca(fit) rpart.pca(fit,wgt.ave=TRUE,interact=TRUE)